In addition to the server installation cost, energy also accounts for a big portion of the cost for edge computing. The energy-optimization literature on edge computing mostly focuses on the edge/IoT devices [1]}, [2]}, [3]}, but not on the edge servers. In this paper, we study how to perform server on-off scheduling for edge computing to save energy cost. As far as we know, this server scheduling problem was only studied in data centers [4]}, [5]}, [6]}, [7]}, but has never been explored in edge computing. The biggest difference is that we need to account for the collaboration among different edge clouds when we study server scheduling in edge computing.
